An Italian to Catalan RBMT system reusing data from existing language pairs

This paper presents an Italian!Catalan RBMT system automatically built by combining the linguistic data of the existing pairs Spanish‐Catalan and Spanish‐Italian. A lightweight manual postprocessing is carried out in order to fix inconsistencies in the automatically derived dictionaries and to add very frequent words that are missing according to a corpus analysis. The system is evaluated on the KDE4 corpus and outperforms Google Translate by approximately ten absolute points in terms of both TER and GTM.

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